Modelos de Linguagem na Análise da Promoção de Jogos de Azar Online: Estudo de Caso do Jogo do Tigrinho no YouTube
Resumo
This undergraduate thesis analyzes the dissemination of gambling-related content on YouTube, focusing on the case of Fortune Tiger, which has been widely promoted by influencers in Brazil. The study approaches the issue as a stance detection task in NLP, using RoBERTa and Llama 3.1 models combined through consensus classification. The analysis of more than 130,000 comments revealed linguistic patterns, polarized engagement, and evidence of automation and textual repetition, particularly in favorable messages originating from new or influential accounts. The results demonstrate the potential of language models in undergraduate research, contributing to the debate on content regulation and the social impacts of digital gambling promotion.
Referências
Bradley, A. and James, R. J. (2019). How are major gambling brands using twitter? International Gambling Studies.
Chamil, A. Y., Djuanda, S. A., and Septaviana, N. (2024). A comprehensive communication approach to navigate the crisis caused by online gambling: Insights from kemencast# 44 on youtube. Ilomata International Journal of Social Science.
Costa, J., Oliveira, G., Fonseca, G., Reis, D., Oliveira Teixeira, G., Cunha,W., Rocha, L., and Ferreira, C. H. G. (2025). Characterizing youtube’s role in online gambling promotion: A case study of fortune tiger in brazil. In Proceedings of the 17th ACMWeb Science Conference 2025, Websci ’25, page 42–51, New York, NY, USA. Association for Computing Machinery.
Cunha, W., Moreo, A., Esuli, A., Sebastiani, F., Rocha, L., and André Gonçalves, M. (2024). A noise-oriented and redundancy-aware instance selection framework. ACM Transactions on Information Systems.
Dias, A., Tanure, R. R., Almeida, J. M., Lima, H. C., and Ferreira, C. H. (2024). Análise da percepção do uso de cigarros eletrônicos no brasil por meio de comentários no youtube. In Brazilian Symposium on Multimedia and the Web.
Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Yang, A., Fan, A., et al. (2024). The llama 3 herd of models. arXiv preprint arXiv:2407.21783.
Fleiss, J. L. (1971). Measuring nominal scale agreement among many raters. Psychological bulletin.
Foppa, G. T., Roza, T. H., and Telles, L. E. d. B. (2024). Online sports betting as an expression of antisocial behavior. Brazilian Journal of Psychiatry.
Garcia, E. A. S., Silva, N. F. F., Siqueira, F., Albuquerque, H. O., Gomes, J. R. S., Souza, E., and Lima, E. A. (2024). RoBERTaLexPT: A legal RoBERTa model pretrained with deduplication for Portuguese. In International Conference on Computational Processing of Portuguese.
Hopfgartner, N., Ruprechter, T., and Helic, D. (2022). Retention and relapse in gambling self-help communities on reddit. In International Conference on Social Informatics.
Houghton, S., McNeil, A., Hogg, M., and Moss, M. (2019). Comparing the twitter posting of british gambling operators and gambling affiliates: A summative content analysis. International Gambling Studies.
Houghton, S. P. B. and Moss, M. (2023). Assessing the bets advertised on twitter by gambling operators and gambling affiliates–an observational study incorporating simulation data to measure bet success. International Gambling Studies.
IBOPE (2023). Video audience share percentage in brazil. [link].
Jacques, C., Fortin-Guichard, D., Bergeron, P., Boudreault, C., Lévesque, D., and Giroux, I. (2016). Gambling content in facebook games: A common phenomenon? Computers in Human Behavior.
Kaakinen, M., Oksanen, A., Sirola, A., Savolainen, I., and Garcia, D. (2020). Emotions in online gambling communities: a multilevel sentiment analysis. In International Conference on Human-Computer Interaction.
Kroon, Å. (2020). Converting gambling to philanthropy and acts of patriotism: The case of “the world’s most swedish gambling company”. Discourse, Context & Media.
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach.
Russell, A. M., Hing, N., Bryden, G. M., Thorne, H., Rockloff, M. J., and Browne, M. (2023). Gambling advertising on twitter before, during and after the initial australian covid-19 lockdown. Journal of Behavioral Addictions.
Singer, J., Wöhr, A., and Otterbach, S. (2024). Gambling operators’ use of advertising strategies on social media and their effects: A systematic review. Current Addiction Reports.
